Translink: User identity linkage across heterogeneous social networks via translating embeddings

J Zhou, J Fan - IEEE INFOCOM 2019-IEEE conference on …, 2019 - ieeexplore.ieee.org
Nowadays people tend to create accounts with multiple social networks (SNs) to enjoy a
variety of social network services. User identity linkage (UIL) aims to identify those multiple …

Deep multi-granularity graph embedding for user identity linkage across social networks

S Fu, G Wang, S Xia, L Liu - Knowledge-Based Systems, 2020 - Elsevier
There have been increasing interests in user identity linkage (UIL) across social networks
since it supports many applications such as cross-net recommendation, link prediction, and …

Jora: Weakly supervised user identity linkage via jointly learning to represent and align

C Zheng, L Pan, P Wu - IEEE transactions on neural networks …, 2022 - ieeexplore.ieee.org
The user identity linkage that establishes correspondence between users across networks is
a fundamental issue in various social network applications. Efforts have recently been …

User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function

H Gao, Y Wang, J Shao, H Shen, X Cheng - Entropy, 2022 - mdpi.com
Users participate in multiple social networks for different services. User identity linkage aims
to predict whether users across different social networks refer to the same person, and it has …

Graph neural networks for user identity linkage

W Zhang, K Shu, H Liu, Y Wang - arXiv preprint arXiv:1903.02174, 2019 - arxiv.org
The increasing popularity and diversity of social media sites has encouraged more and
more people to participate in multiple online social networks to enjoy their services. Each …

Unsupervised user identity linkage via graph neural networks

F Zhou, Z Wen, T Zhong, G Trajcevski… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
User identity linkage (UIL) aims to link identical users engaging in multiple social networks. It
has received considerable attention in both academia and industry due to its profound …

User identity linkage across online social networks: A review

K Shu, S Wang, J Tang, R Zafarani, H Liu - Acm Sigkdd Explorations …, 2017 - dl.acm.org
The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

Deeplink: A deep learning approach for user identity linkage

F Zhou, L Liu, K Zhang, G Trajcevski… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
The typical aim of User Identity Linkage (UIL) is to detect when users from across different
social platforms are actually one and the same individual. Existing efforts to address this …

Unsupervised user identity linkage via factoid embedding

W Xie, X Mu, RKW Lee, F Zhu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
User identity linkage (UIL), the problem of matching user account across multiple online
social networks (OSNs), is widely studied and important to many real-world applications …

A Community Sensing Approach for User Identity Linkage

Z Wang, T Hayashi, Y Ohsawa - … Papers from the Annual Conference of …, 2020 - Springer
This is an extension from a selected paper from JSAI2019. User Identity Linkage (UIL) aims
to detect the same individual or entity across different Online Social Networks, which is a …